Hate Speech Detection

31 papers with code · Natural Language Processing
Subtask of Abuse Detection

Hate Speech Detection is the automated task of detecting if a piece of text contains hate speech.

Source: Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models

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Greatest papers with code

Automated Hate Speech Detection and the Problem of Offensive Language

11 Mar 2017t-davidson/hate-speech-and-offensive-language

We train a multi-class classifier to distinguish between these different categories.

HATE SPEECH DETECTION

Deep Learning for Hate Speech Detection in Tweets

1 Jun 2017pinkeshbadjatiya/twitter-hatespeech

Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis.

EVENT EXTRACTION HATE SPEECH DETECTION SENTIMENT ANALYSIS WORD EMBEDDINGS

BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection

WS 2020 kocohub/korean-hate-speech

Additionally, when BERT is trained with bias label for hate speech detection, the prediction score increases, implying that bias and hate are intertwined.

HATE SPEECH DETECTION

Comparative Studies of Detecting Abusive Language on Twitter

WS 2018 JackonYang/maya

In this paper, we conduct the first comparative study of various learning models on Hate and Abusive Speech on Twitter, and discuss the possibility of using additional features and context data for improvements.

ABUSIVE LANGUAGE HATE SPEECH DETECTION TWITTER SENTIMENT ANALYSIS

Hate Speech Dataset from a White Supremacy Forum

WS 2018 aitor-garcia-p/hate-speech-dataset

Hate speech is commonly defined as any communication that disparages a target group of people based on some characteristic such as race, colour, ethnicity, gender, sexual orientation, nationality, religion, or other characteristic.

HATE SPEECH DETECTION

Deep Learning Models for Multilingual Hate Speech Detection

14 Apr 2020punyajoy/DE-LIMIT

Hate speech detection is a challenging problem with most of the datasets available in only one language: English.

HATE SPEECH DETECTION ZERO-SHOT LEARNING

Multilingual and Multi-Aspect Hate Speech Analysis

IJCNLP 2019 HKUST-KnowComp/MLMA_hate_speech

Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks.

HATE SPEECH DETECTION

Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter

27 Feb 2018ziqizhang/chase

Our methods are evaluated on the largest collection of hate speech datasets based on Twitter, and are shown to be able to outperform the best performing method by up to 5 percentage points in macro-average F1, or 8 percentage points in the more challenging case of identifying hateful content.

HATE SPEECH DETECTION